Iris density grid¶
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Most examples work across multiple plotting backends, this example is also available for:
In [1]:
import holoviews as hv
from holoviews import opts
hv.extension('matplotlib')
Declaring data¶
In [2]:
from bokeh.sampledata.iris import flowers
from holoviews.operation import gridmatrix
iris_ds = hv.Dataset(flowers)
Plot¶
In [3]:
density_grid = gridmatrix(iris_ds, diagonal_type=hv.Distribution, chart_type=hv.Bivariate)
point_grid = gridmatrix(iris_ds, chart_type=hv.Points)
(density_grid * point_grid).opts(
opts.Bivariate(bandwidth=0.5, cmap='Blues'),
opts.Points(s=4))
Out[3]:
Download this notebook from GitHub (right-click to download).